Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Abstract. We present the first (to our knowledge) approximation algorithm for tensor clustering—a powerful generalization to basic 1D clustering. Tensors are increasingly common...
Although clustering under constraints is a current research topic, a hierarchical setting, in which a hierarchy of clusters is the goal, is usually not considered. This paper trie...
The purpose of this paper is to allow for high level shape representation and matching in multi-object images by detecting and extracting the envelope of object groupings in the im...
Naif Alajlan, Ossama El Badawy, Mohamed S. Kamel, ...
The evolution of Web Applications needs to be supported by the availability of proper analysis and design documents. UML use case diagrams are certainly useful to identify feature...
Giuseppe A. Di Lucca, Massimiliano Di Penta, Anna ...